Wavelet contour based detector for arrhythmia analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F08%3APU75736" target="_blank" >RIV/00216305:26220/08:PU75736 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Wavelet contour based detector for arrhythmia analysis

Popis výsledku v původním jazyce

This paper deals with design of an automatic detector for classification of selected cardiac arrhythmias. The proposed algorithms employ continuous wavelet transform (CWT) combined with analysis of its contour envelopes. The CWT was used in a detector ofR-waves, to distinguish between normal and abnormal beats, and for detection of atrial premature contractions (APCs) and premature ventricular contractions (PVCs). The algorithm was validated by extensive testing on the MIT/BIH database. Searching for alocal maximum in wavelet contour envelopes efficiently detects R-peaks. The overall accuracy of its detection tested on 48 half-hour signals is 99.5%. Two types of classifications were tested: 1. classification based on the contour envelope and the detection of significant points with overall accuracy 94.6%, 96.1% for sinus rhythm (SR), 30.4% APCs, 71.2% PVCs, and 2. the localization of maximum of square modulus of CWT coefficients in the area of QRS complex for the determination of PVC

Název v anglickém jazyce

Wavelet contour based detector for arrhythmia analysis

Popis výsledku anglicky

This paper deals with design of an automatic detector for classification of selected cardiac arrhythmias. The proposed algorithms employ continuous wavelet transform (CWT) combined with analysis of its contour envelopes. The CWT was used in a detector ofR-waves, to distinguish between normal and abnormal beats, and for detection of atrial premature contractions (APCs) and premature ventricular contractions (PVCs). The algorithm was validated by extensive testing on the MIT/BIH database. Searching for alocal maximum in wavelet contour envelopes efficiently detects R-peaks. The overall accuracy of its detection tested on 48 half-hour signals is 99.5%. Two types of classifications were tested: 1. classification based on the contour envelope and the detection of significant points with overall accuracy 94.6%, 96.1% for sinus rhythm (SR), 30.4% APCs, 71.2% PVCs, and 2. the localization of maximum of square modulus of CWT coefficients in the area of QRS complex for the determination of PVC

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F07%2F1473" target="_blank" >GA102/07/1473: Optické metody registrace elektrických potenciálů a koncentrace vápníku v srdci s laserovou stabilizací</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2008

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

European Journal For Biomedical Informatics

ISSN

1801-5603

e-ISSN

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Svazek periodika

2008

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

15

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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